Left ventricular (LV) global longitudinal strain (GLS) improves detection of systolic dysfunction and prognostic assessment compared to ejection fraction, yet conventional semi-automatic workflows are time-consuming and operator dependent. Deep learning (DL)-based GLS analyses may address these challenges, but va...
V. Holmstrøm, E. Smistad, S. Stolen et al.· European Heart Journal· 0 citations
Four-dimensional ultrafast ultrasound imaging is emerging as a major paradigm shift in biomedical imaging by enabling the direct visualization and quantification of dynamic physiological processes in three-dimensional space over time. This review provides a comprehensive overview of the principles, technological develo...
C. Papadacci, J. Provost, Meng-Xing Tang et al.· IEEE transactions on ultraso...· 0 citations
Echocardiographic global longitudinal strain (GLS) and mechanical dispersion (MD) improve risk prediction in heart failure. To facilitate clinical implementation, we aimed to develop a deep learning-based method for fast, fully automated GLS and MD and validate its ability to predict ventricular arrhythmia (VA) a...
D. Melichova, J. Nyberg, T. Nguyen et al.· European Heart Journal· 0 citations
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